An integrated decision-making approach with golden cut and bipolar q-ROFSs to renewable energy storage investments

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dc.authorid0000-0002-9858-1266
dc.authorid0000-0002-8072-031X
dc.contributor.authorXu, Xiaoqin
dc.contributor.authorYüksel, Serhat
dc.contributor.authorDinçer, Hasan
dc.date.accessioned2023-09-14T08:23:24Z
dc.date.available2023-09-14T08:23:24Z
dc.date.issued2023
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Ticaret ve Finansman Bölümü
dc.description.abstractA new hybrid fuzzy decision-making model is created in this study to evaluate significant factors of renewable energy storage investments and select the appropriate energy types. The factors are analyzed with golden cut-oriented bipolar q-rung orthopair fuzzy (q-ROF) multi-stepwise weight assessment ratio analysis (M-SWARA). Moreover, alternatives are examined by golden cut-oriented bipolar q-ROF elimination and choice translating reality (ELECTRE). The calculations are also made with IFSs and PFSs to measure the reliability. This study gives a novel approach to selection problem of renewable energy storage investments with golden cut, bipolar, and q-ROFSs. It is identified that capacity protection has the greatest weight with respect to the storage investments. Additionally, regarding the ranking results, solar is the best clean energy alternative for the energy storage. Hence, investors should give priorities avoiding the delays with the full capacity of renewable energy production. Minimizing the energy loss in the energy storage process will contribute to the increase in performance. In this way, it will be possible to ensure sustainability by increasing the profitability of the projects. It would be the right decision for investors to prioritize solar energy projects to increase their energy storage efficiency. Especially in recent years, very important technological developments have occurred for energy storage process in solar energy projects. Therefore, by prioritizing the solar energy for this purpose, the sustainability of the energy projects can be provided.
dc.identifier.citationXu, X., Yüksel, S. ve Dinçer, H. (2023). An integrated decision-making approach with golden cut and bipolar q-ROFSs to renewable energy storage investments. International Journal of Fuzzy Systems, 25(1), 168-181. https://dx.doi.org/10.1007/s40815-022-01372-2
dc.identifier.doi10.1007/s40815-022-01372-2
dc.identifier.endpage181
dc.identifier.issn1562-2479
dc.identifier.issn2199-3211
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85137464306
dc.identifier.scopusqualityQ2
dc.identifier.startpage168
dc.identifier.urihttps://dx.doi.org/10.1007/s40815-022-01372-2
dc.identifier.urihttps://hdl.handle.net/20.500.12511/11430
dc.identifier.volume25
dc.identifier.wos000849987800001en_US
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorYüksel, Serhat
dc.institutionauthorDinçer, Hasan
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofInternational Journal of Fuzzy Systemsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectBipolar Fuzzy Sets
dc.subjectELECTRE
dc.subjectEnergy Storage
dc.subjectGolden Cut
dc.subjectM-SWARA
dc.subjectq-ROFSs
dc.titleAn integrated decision-making approach with golden cut and bipolar q-ROFSs to renewable energy storage investments
dc.typeArticle

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